1. Introduction

1.1 - Welcome to the Mentfx private mentorship

1.2 - Setting up TradingView indicator

2. Supply and Demand

2.1 - Supply, demand, and the composite operator

2.2 - How true supply and demand is created

2.3 - Demand zones across timeframes

3. Ment Blocks

3.1 - Introduction to Ment Blocks (MBs)

3.2 - Ment Blocks across timeframes

3.3 - The universal application of Ment Blocks

3.4 - Fractal nature and timeframes

3.5 - Nested Ment Blocks

3.6 - Introduction to Double MB (DMB)

3.7 - Connecting micro and macro views

3.8 - Interpreting MBs in higher timeframes

3.9 - The cycle of supply and demand

3.10 - Example - NQ futures case study

3.11 - A multi-timeframe perspective

3.12 - Example - Analyzing MBs on UTHR stock

3.13 - Example - A Google trade breakdown

4. Structure

4.1 - Introduction to market structure

4.2 - Structure and order flow

4.3 - Example - A GBTC trade walkthrough

4.4 - Analyzing higher highs and higher lows

4.5 - Rule of Left-to-Right

4.6 - NVIDIA weekly chart case study

4.7 - Anticipating a higher low

4.8 - Principles of basic structure

4.9 - True delivery of the structure

5. Timeframes

5.1 - The entry timeframe

5.2 - Introduction to EVC (entry, validation, context)

5.3 - Theoretical EVC importance

5.4 - Examples of theoretical EVC

5.5 - Why EVC is important

5.6 - Adapting EVC to your trading style

5.7 - Understanding lower timeframe trading

5.8 - Higher timeframe trading: Pros and cons

6. Stages

6.1 - Generality of EVC

6.2 - Introduction to accumulation model

6.3 - Introduction to market stages

6.4 - Price delivery through Stage 1 and Stage 2

6.5 - Stages example - NVDA

6.6 - Stage 1, stage 2 example - USDJPY

6.7 - Stages and trends

6.8 - Wins, losses, and break-evens

6.9 - Preface to deeper stage understanding

6.10 - Deep stage 1 stage 2 and complex accumulation

7. Cycle

7.1 - Stages and cycles

7.2 - Snowflake rule

7.3 - The full market cycle

7.4 - Applying the full market cycle

7.5 - Full cycle executions

7.6 - MBs and the entry full cycle

7.7 - MBs and fractal stages

7.8 - Entry points within market cycles

7.9 - Cycles - from minutes to weeks

7.10 - Markets cycles on all assets and timeframes

7.11 - Bullish and bearish cycles across assets

8. Full Cycle

8.1 - Market cycles visually + intro to V

8.2 - Consistency - small wins, break evens, good losses

8.3 - Applying the full cycle model to NQ futures

8.4 - Trading the cycle (day 4)

9. Entries

9.1 - Introduction to entries

9.2 - Classifying entries to MB, FMB, FFMB

9.3 - Identifying entry opportunities with DMB

9.4 - Accumulation and momentum MBs

9.5 - Accumulation MB characteristics

9.6 - Momentum MB characteristics

9.7 - Bridging the gap between the E and the V

9.8 - Examples of trades (from V to E)

9.9 - A framework for entry

9.10 - Learn from your trades using case studies

9.11 - Using ATR for stop placement

9.12 - Risk calculation in TradingView (simplified)

9.13 - Single major entry cycle concept

9.14 - The flexible EVC approach

9.15 - Momentum and accumulation MBs working together

9.16 - My process of finding trade opportunities

10. Moving Averages

10.1 - Introduction to moving averages

10.2 - Moving averages and market cycles

10.3 - Composite operator and moving averages

10.4 - Moving average interactions with MB types

10.5 - 5 / 10 / 20 moving averages

10.6 - The 5 EMA cheat code

10.7 - MA's and evolving markets

10.8 - Different MA roles across EVC

10.9 - EVC timeframe analysis using MAs

11. Cycle Advanced

11.1 - Advanced momentum cycle

11.2 - Advanced entry cycle

11.3 - System simplified

11.4 - Entries advanced (part 1 - MB counts)

11.5 - Entries advanced (part 2 - e-micro)

12. Screener

12.1 - Introduction to screener

12.2 - Omniscreener

12.3 - My screening process

12.4 - Customizing screener columns

13. Risk Management

13.1 - Risk management fundamentals

13.2 - Breaking down risk/reward

13.3 - Expected value

13.4 - Win rates don't matter

13.5 - How different stop sizes equal 1R

13.6 - Risk calculation detailed

13.7 - Additional risk considerations

14. Trade Management

14.1 - Life cycle of a trade

15. Data Collection

15.1 - Building blocks of profitable trading

15.2 - Supply and containment lines

15.3 - Market psychology and supply buildup

15.4 - Understanding containment explosion

15.5 - Power of buy stopping highs

15.6 - One schematic to rule them all

15.7 - Accessing templates and tools

15.8 - How to use the case study template in Miro

15.9 - Building case studies together with screener

15.10 - Moving from case study to trading rules

15.11 - Labeling for case studies

15.12 - The rule of 50 trades

15.13 - Analyzing your trading data

15.14 - Developing a trade plan

16. Testing

16.1 - Backtesting your system

16.2 - Backtesting in action

16.3 - Preparing for forward testing

16.4 - Confidence through forward testing

17. The Next Step

3.4 – Fractal nature and timeframes

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